Search

Background and ObjectivesAlthough there is evidence of disruption in acute cerebrovascular and cardiovascular care during the coronavirus disease 2019 (COVID-19) pandemic, its downstream effect in primary care is less clear. We investigated how the pandemic affected utilization of cerebrovascular and cardiovascular care in general practices (GPs) and determined changes in GP-recorded diagnoses of selected cerebrovascular and cardiovascular outcomes.MethodsFrom electronic health records of 166,929 primary care patients aged 30 or over within the Rotterdam region, the Netherlands, we extracted the number of consultations related to cerebrovascular and cardiovascular care, and first diagnoses of selected cerebrovascular and cardiovascular risk factors (hypertension, diabetes, lipid disorders), conditions, and events (angina, atrial fibrillation, TIA, myocardial infarction, stroke). We quantified changes in those outcomes during the first COVID-19 wave (March–May 2020) and thereafter (June–December 2020) by comparing them to the same period in 2016–2019. We also estimated the number of potentially missed diagnoses for each outcome.ResultsThe number of GP consultations related to cerebrovascular and cardiovascular care declined by 38% (0.62, 95% confidence interval 0.56–0.68) during the first wave, as compared to expected counts based on prepandemic levels. Substantial declines in the number of new diagnoses were observed for cerebrovascular events: 37% for TIA (0.63, 0.41–0.96) and 29% for stroke (0.71, 0.59–0.84), while no significant changes were observed for cardiovascular events (myocardial infarction [0.91, 0.74–1.14], angina [0.77, 0.48–1.25]). The counts across individual diagnoses recovered following June 2020, but the number of GP consultations related to cerebrovascular and cardiovascular care remained lower than expected throughout the June to December period (0.93, 0.88–0.98).DiscussionWhile new diagnoses of acute cardiovascular events remained stable during the COVID-19 pandemic, diagnoses of cerebrovascular events declined substantially compared to prepandemic levels, possibly due to incorrect perception of risk by patients. These findings emphasize the need to improve symptom recognition of cerebrovascular events among the general public and to encourage urgent presentation despite any physical distancing measures.

BACKGROUND: Timely diagnosis and adequate care is important for persons with young-onset dementia (YOD) and their caregivers, due to the high impact of the disease. Initiating care can be difficult for the general practitioner (GP) and other healthcare professionals.OBJECTIVE: Provide insight in the care use of persons with YOD and identify factors influencing care use.METHODS: A primary care register was used for this study. Information on the care use of persons with YOD was extracted from the GPs written notes. Information entailed time until start of care use, reasons and factors influencing the GP's decision, and reasons and factors influencing actual care use were included. Analyses included quantitative explorative descriptive analyses, and qualitative manifest content analyses.RESULTS: 75 persons with YOD were included in this study. The main reason for GPs to refer for diagnosis was concerns of caregivers. After diagnosis, 72% of the persons were assigned a case manager, 42.7% received day care, and 44% were admitted to a long-term care facility. A higher percentage of persons without a case manager was admitted to a long-term care facility (64%) compared to the persons with a case manager (36%). Reasons for not initiating care were reluctancy of the persons with YOD or their caregivers, the person deceased, or because the GP did not refer for care.CONCLUSION: Care use differed between persons due to different needs and reasons. Although most persons with YOD receive care in the years after diagnosis, there are still factors that could be improved.

Contains fulltext : 283195.pdf (Publisher’s version ) (Open Access) BACKGROUND: Young-onset dementia (YOD) has many underlying etiologies, leading to a large heterogeneity in first symptoms. This makes it difficult for general practitioners (GPs) to recognize YOD. OBJECTIVE: Identify early symptoms that are more common in the pre-diagnostic phase of YOD. METHODS: We performed a case-control study nested in a primary-care registry on 89 cases and 162 matched controls, where we compared symptoms of people with YOD up to 5 years before diagnosis to their matched control group without YOD. The variables included in this study were International Classification of Primary Care codes and symptoms extracted from written GP notes and categorized in groups. We used Generalized Equation Estimation to analyze symptom's time-trajectories and logistic regression and ROC-curves to analyze differences in number of symptom categories reported. RESULTS: Cognitive symptoms were more common in people with YOD 5 years before diagnosis, affective symptoms 4 years before diagnosis, social symptoms 3 years, behavioral symptoms 2 years, and daily functioning disturbances 1 year before diagnosis. The ROC-curve suggested that reporting two or more symptom categories at the GP gave the best trade-off between sensitivity (85%) and specificity (77%), for the highest percentage of correctly diagnosed persons. CONCLUSION: This study showed people with YOD present differently than people without YOD. However, it may still be difficult for GPs to use these symptom categories to distinguish people with YOD, since the symptoms also occur in people with other diseases. A combination of reported symptom categories increases the probability of an underlying cause of YOD.

Background In academic research contexts, eHealth interventions for caregivers of people with dementia have shown ample evidence of effectiveness. However, they are rarely implemented in practice, and much can be learned from their counterparts (commercial, governmental, or other origins) that are already being used in practice. Objective This study aims to examine a sample of case studies of eHealth interventions to support informal caregivers of people with dementia that are currently used in the Netherlands; to investigate what strategies are used to ensure the desirability, feasibility, viability, and sustainability of the interventions; and to apply the lessons learned from this practical, commercial implementation perspective to academically developed eHealth interventions for caregivers of people with dementia. Methods In step 1, experts (N=483) in the fields of dementia and eHealth were contacted and asked to recommend interventions that met the following criteria: delivered via the internet; suitable for informal caregivers of people with dementia; accessible in the Netherlands, either in Dutch or in English; and used in practice. The contacted experts were academics working on dementia and psychosocial innovations, industry professionals from eHealth software companies, clinicians, patient organizations, and people with dementia and their caregivers. In step 2, contact persons from the suggested eHealth interventions participated in a semistructured telephone interview. The results were analyzed using a multiple case study methodology. Results In total, the response rate was 7.5% (36/483), and 21 eHealth interventions for caregivers of people with dementia were recommended. Furthermore, 43% (9/21) of the interventions met all 4 criteria and were included in the sample for the case study analysis. Of these 9 interventions, 4 were found to have developed sustainable business models and 5 were implemented in a more exploratory manner and relied on research grants to varying extents, although some had also developed preliminary business models. Conclusions These findings suggest that the desirability, feasibility, and viability of eHealth interventions for caregivers of people with dementia are linked to their integration into larger structures, their ownership and support of content internally, their development of information and communication technology services externally, and their offer of fixed, low pricing. The origin of the case studies was also important, as eHealth interventions that had originated in an academic research context less reliably found their way to sustainable implementation. In addition, careful selection of digital transformation strategies, more intersectoral cooperation, and more funding for implementation and business modeling research are recommended to help future developers bring eHealth interventions for caregivers of people with dementia into practice.

Background Very few evidence-based eHealth interventions for caregivers of people with dementia are implemented into practice. Municipalities are one promising context in which to implement these interventions due to their available policy and innovation incentives regarding (dementia) caregiving and prevention. In this study, two evidence-based eHealth interventions for caregivers of people with dementia (Partner in Balance and Myinlife) were implemented in 8 municipalities in the Euregion Meuse-Rhine. Partner in Balance is a blended care, 8-week, self-management intervention intervention designed to aid caregivers of people with dementia in adapting to their new roles that is delivered through coaches in participating health care organizations who are trained to use it to offer online support to their clients. Myinlife is an eHealth/mHealth intervention integrated into the Dutch Alzheimer’s Association website and available from the App Store or Google Play, designed to help caregivers of people with dementia use their social network to better organize care and share positive (caregiving) experiences. Objective This study’s objectives were to evaluate the success of the implementation of Myinlife and Partner in Balance and investigate determinants of their successful implementation in the municipality context. Methods This study collected eHealth use data, Partner in Balance coach evaluation questionnaires, and information on implementation determinants. This was done by conducting interviews with the municipality officials based on the measurement instrument for determinants of implementation (MIDI). These data from multiple sources and perspectives were integrated and analyzed to form a total picture of the determinants (barriers and facilitators to implementation in the municipality context). Results The municipality implementation of Partner in Balance and Myinlife showed varying levels of success. In the end, 3 municipalities planned to continue the implementation of Partner in Balance, while none planned to continue the implementation of Myinlife. The 2 Partner in Balance municipalities that did not consider the implementation to be successful viewed the implementation as an external project. For Myinlife, it was clear that more face-to-face contact was needed to engage the implementing municipality and target groups. Successful implementations were linked to implementer self-efficacy and sense of ownership, which seemed to be absent in unsuccessful implementations. Conclusions The experiences of implementing these interventions suggested that this implementation context was feasible regarding the required budget and infrastructure. The need to foster sense of ownership and self-efficacy in implementers will be integrated into future implementation protocols as part of standard implementation materials for municipalities and organizations implementing Myinlife and Partner in Balance.

BackgroundVery few evidence-based electronic health (eHealth) interventions for caregivers of people with dementia are implemented into practice. As part of a cross-border collaboration focusing on dementia and depression in older people, two eHealth interventions for caregivers of people with dementia (“Myinlife” and “Partner in Balance”) were adopted by nine municipalities in the Euregion Meuse-Rhine.ObjectiveThis study aimed to (1) identify determinants for the implementation of eHealth interventions for caregivers of people with dementia in a municipality context and (2) formulate implementation strategies for these interventions.MethodsEight municipality officials were interviewed using open-ended, semistructured interviews about their background, thoughts on the implementation of the intervention, recommended strategies, and thoughts on eHealth in general. One additional municipality discontinued the implementation project and submitted answers to the interview questions via email. The interviews were transcribed and independently analyzed using inductive thematic analysis.ResultsThe interviews provided information on the perspectives of municipality officials on implementing eHealth for caregivers of people with dementia in their local communities. Key findings from the inductive thematic analysis included the importance of face-to-face interviews in developing tailor-made implementation plans, the need for regular meetings, the enthusiasm of municipality officials to implement these interventions, the need for long-term sustainability planning through collecting data on the required resources and benefits, and the effect of name brand recognition in adoption.ConclusionsThe findings contribute toward filling the previously identified gap in the literature on the implementation context of eHealth interventions for caregivers of people with dementia. Municipality officials’ views indicated which implementation determinants they expected would influence the adoption, dissemination, and future implementation of eHealth interventions for caregivers of people with dementia in a municipal context. These insights were applied to tailored implementation strategies to facilitate the future implementation of interventions such as Myinlife and Partner in Balance.

Objectives The objectives were to (1) systematically review the literature on the implementation of eHealth interventions for informal caregivers of people with dementia, and (2) identify determinants of successful implementation. Methods Online databases were searched for articles about eHealth interventions for informal caregivers of people with dementia, providing information on their implementation. Articles were independently screened and inductively analyzed using qualitative analysis. The analysis was mapped onto the Consolidated Framework for Implementation Research (CFIR; Damschroder et al., 2009). Findings 46 articles containing 204 statements on implementation were included. The statements on implementation were grouped into four categories: Determinants associated with the eHealth application, informal caregiver, implementing organization, or wider context. Mapping of the determinants on the CFIR revealed that studies have focused mostly on characteristics of the intervention and informal caregiver. Limited attention has been paid to organizational determinants and the wider context. Conclusions Despite prolific effectiveness and efficacy research on eHealth interventions for caregivers of people with dementia, there is a critical dearth of implementation research. Furthermore, there is a mismatch between eHealth intervention research and implementation frameworks, especially concerning organizational factors and wider context. This review underscores the importance of future implementation research in bridging the gap between research and practice., Highlights • There is a lack of implementation research for these interventions. • Research focuses on the caregiver and the characteristics of the intervention. • Research should focus more on the implementing organization and wider context. • There is a mismatch between research and implementation frameworks. • More research is needed to develop appropriate theories to frame these studies.

Objectives A variety of health services delivered via the Internet, or “eHealth interventions,” to support caregivers of people with dementia have shown evidence of effectiveness, but only a small number are put into practice. This study aimed to investigate whether, how and why their implementation took place. Methods This qualitative study followed up on the 12 publications included in Boots et al.'s (2014) widely cited systematic review on eHealth interventions for informal caregivers of people with dementia, in order to explore further implementation into practice. Publicly available online information, implementation readiness (ImpRess checklist scores), and survey responses were assessed. Findings Two interventions were freely available online, two were available in a trial context, and one was exclusively available to clinical staff previously involved in the research project. The remaining seven were unavailable. All scores on the ImpRess checklist were at 50% or lower of the total, indicating that the interventions were not ready to implement at the time of the Boots et al. (2014) review, though some interventions were scored as more implementation-ready in subsequent follow-up publications. Responses to the survey were received from six out of twelve authors. Key learnings from the survey included the importance of the involvement of stakeholders at all stages of the process, as well as the flexible adaptation and commercialization of the intervention. Conclusions In general, low levels of implementation readiness were reported and often the information necessary to assess implementation readiness was unavailable. The only two freely available interventions had long-term funding from aging foundations. Authors pointed to the involvement of financial gatekeepers in the development process and the creation of a business model early on as important facilitators to implementation. Future research should focus on the factors enabling sustainable implementation., Highlights • Most interventionscouldno longer be found. • Most interventions reported low implementation readiness. • Available interventions made use of long-term funding. • They were not found to have developed self-sustaining business models. • More research is needed on business models and contextual factors.

There is no consensus among health professionals on how to structure medical records to serve clinical decision-making. Three approaches co-exist (source-oriented, problem-oriented, goal-oriented), each suiting a different subset of patients. In primary care, the problem-oriented approach is dominant, but for patients with multiple conditions (multimorbidity) the goal-oriented approach seems more appropriate. There is a need to combine different approaches in one medical-record system. In this article, we explain some misconceptions about ‘problems’ and ‘goals’ that hinder the way to consensus. When putting the approaches into historical perspective, it becomes evident that each relates to a different definition of health. Each approach has its specific merits that should be preserved even when health definitions change. Hence, we combine the merits of each approach into one overarching model, as to show the way to a new generation of electronic medical-record systems that can serve all patients. This model has three levels: a level of problems, diseases, and patient goals, a level of (shared) objectives, and a level of action plans and results.

Samenvatting Van der Weegen S, Verwey R, Spreeuwenberg M, Tange H, Van der Weijden T, De Witte L. Technologie om de fysieke activiteit te verhogen. Huisarts Wet 2016;59(6):248-52.

Item does not contain fulltext The systematic development of a counselling protocol in primary care combined with a monitoring and feedback tool to support chronically ill patients to achieve a more active lifestyle. An iterative user-centred design method was used to develop a counselling protocol: the Self-management Support Programme (SSP). The needs and preferences of future users of this protocol were identified by analysing the literature, through qualitative research, and by consulting an expert panel. The counselling protocol is based on the Five A's model. Practice nurses apply motivational interviewing, risk communication and goal setting to support self-management of patients in planning how to achieve a more active lifestyle. The protocol consists of a limited number of behaviour change consultations intertwined with interaction with and responses from the It's LiFe! monitoring and feedback tool. This tool provides feedback on patients' physical activity levels via an app on their smartphone. A summary of these levels is automatically sent to the general practice so that practice nurses can respond to this information. A SSP to stimulate physical activity was defined based on user requirements of care providers and patients, followed by a review by a panel of experts. By following this user-centred approach, the organization of care was carefully taken into account, which has led to a practical and affordable protocol for physical activity counselling combined with mobile technology.

Background Given the increasing use of digital interventions in health care, understanding how best to implement them is crucial. However, evidence on how to implement new academically developed interventions in complex health care environments is lacking. This case study offers an example of how to develop a theory-based implementation plan for Partner in Balance, an electronic health (eHealth) intervention to support the caregivers of people with dementia. Objective The specific objectives of this study were to (1) formulate evidence-based implementation strategies, (2) develop a sustainable business model, and (3) integrate these elements into an implementation plan. Methods This case study concerns Partner in Balance, a blended care intervention to support the caregivers of people with dementia, which is effective in improving caregiver self-efficacy, quality of life, and experienced control. The large-scale implementation of Partner in Balance took place in local dementia case-management services, local care homes, dementia support groups, and municipalities. Experiences from real-life pilots (n=22) and qualitative interviews with national stakeholders (n=14) were used to establish an implementation plan consisting of implementation strategies and a business model. Results The main finding was the need for a business model to facilitate decision-making from potential client organizations, who need reliable pricing information before they can commit to training coaches and implementing the intervention. Additionally, knowledge of the organizational context and a wider health care system are essential to ensure that the intervention meets the needs of its target users. Based on these findings, the research team formulated implementation strategies targeted at the engagement of organizations and staff, dissemination of the intervention, and facilitation of long-term project management in the future. Conclusions This study offers a theory-based example of implementing an evidence-based eHealth intervention in dementia health care. The findings help fill the knowledge gap on the eHealth implementation context for evidence-based eHealth interventions after the trial phase, and they can be used to inform individuals working to develop and sustainably implement eHealth.

Electronic health records (EHRs) have been in place for decades; however, most existing systems were designed in the prevailing disease- and payment-focused care paradigm that often loses sight of the goals, needs, and values of patients and clinicians. The goal-directed health care model was proposed more than 20 years ago, but no design principles have been developed for corresponding electronic record systems. Newly designed EHRs are needed to facilitate health care that is anchored by patient life and health goals. We explore the limitations of current EHRs and propose a blueprint for a new EHR design that may facilitate goal-directed health care. To reflect patient goals as a thread through the care continuum, we propose 5 major system functions for goal-directed health records based on the 8 characteristics of primary health care defined by the Institute of Medicine. We also discuss how new EHR functions could support goal-directed health care and how payment and quality measurement systems will need to be transformed. It may be possible for patient life and health goals to drive health care that is reinforced by a corresponding health record design; however, synchronized shifts must occur in the models of providing, documenting, and paying for health care.

Viola Voncken-Brewster,1 Huibert Tange,1 Hein de Vries,2 Zsolt Nagykaldi,3 Bjorn Winkens,4 Trudy van der Weijden1 1Department of Family Medicine, 2Department of Health Promotion, School for Public Health and Primary Care (CAPHRI), Maastricht University Medical Center, Maastricht, Netherlands; 3Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA; 4Department of Methodology and Statistics, CAPHRI, Maastricht University Medical Center, Maastricht, Netherlands Introduction: COPD is a leading cause of morbidity and mortality. Self-management interventions are considered important in order to limit the progression of the disease. Computer-tailored interventions could be an effective tool to facilitate self-management. Methods: This randomized controlled trial tested the effectiveness of a web-based, computer-tailored COPD self-management intervention on physical activity and smoking behavior. Participants were recruited from an online panel and through primary care practices. Those at risk for or diagnosed with COPD, between 40 and 70 years of age, proficient in Dutch, with access to the Internet, and with basic computer skills (n=1,325), were randomly assigned to either the intervention group (n=662) or control group (n=663). The intervention group received the web-based self-management application, while the control group received no intervention. Participants were not blinded to group assignment. After 6months, the effect of the intervention was assessed for the primary outcomes, smoking cessation and physical activity, by self-reported 7-day point prevalence abstinence and the International Physical Activity Questionnaire – Short Form. Results: Of the 1,325 participants, 1,071 (80.8%) completed the 6-month follow-up questionnaire. No significant treatment effect was found on either outcome. The application however, was used by only 36% of the participants in the experimental group. Conclusion: A possible explanation for the nonsignificant effect on the primary outcomes, smoking cessation and physical activity, could be the low exposure to the application as engagement with the program has been shown to be crucial for the effectiveness of computer-tailored interventions. (Netherlands Trial Registry number: NTR3421.) Keywords: smoking cessation, physical activity, Internet intervention, tailoring, COPD

Sir,In a recent article, Heerkens et al. reconsidered the ICF scheme in an attempt to address critiques that in the current scheme the medical perspective is too dominant [1]. Based on literature r...

Background The system informs the nurse about levels of physical activity in the daily living of patients who are using the It’s LiFe! tool. The tool consists of an accelerometer that transfers data to a smartphone, which is subsequently connected to a server. Nurses can monitor patients’ physical activity via a secured website. Physical activity levels are measured in minutes per day compared with pre-set activity goals, which are set in dialogue with the patient.Objective To examine user requirements and to evaluate the usability of the secured website, in order to increase the probability of effective use by nurses.Method The needs and preferences of nurses towards the system were determined through qualitative research. The usability of the system was evaluated in a laboratory situation and during a three-month pilot study.Results A monitoring and feedback system to support patients in their intention to be more active was developed in a systematic way. Automatically generated feedback messages were defined based on the requirements of nurses. The results from the usability tests gave insights into how to improve the structure and quality of the information provided. Nurses were positive about the features and ease of use of the system, but made critical remarks about the time that its use entails.Conclusion The system supports nurses when performing physical activity counselling in a structured and profound way. The opportunity to support self-management of patients in between regular consultations needs further investigation, and adaptation into the clinical workflow of the nurses.

Background: Chronic obstructive pulmonary disease (COPD) is underdiagnosed in general practice. Our aim was to implement a population-based approach for the early detection of COPD and to assess its impact on primary care workload and costs, and the influence of socioeconomic status (SES). Methods: An observational study with mixed methods was performed in 10 Dutch general practices of either low or moderate to high SES. The Respiratory Health Screening Questionnaire was posted during a three-month period to all persons aged 45, 55, and 65 years (one age group per month). The practices calculated the risk, and patients at high risk of COPD were invited for spirometry at the practice. The general practitioner used the spirometric results and a consultation to establish a clinical diagnosis. Qualitative and quantitative data on workload, cost, and barriers were evaluated. Results: Ten practices returned 293 (35.3%) COPD risk tests for the three age groups. Participants from low SES practices responded better than those from moderate to high SES practices (40.8% vs. 30.5%). In practices with low SES 17.9% of the tests indicated high risk compared with 16.1% in practices with moderate to high SES. Nine patients (23%) were newly diagnosed with COPD. The healthcare providers' extra workload averaged 18.5 hours during the three months for one standard practice. The average cost of this survey programme (three age groups in three months) was (sic)520 for low SES practices and (sic)398 for moderate to high SES practices. All healthcare providers affirmed that the extra workload in this survey model is acceptable and feasible when finances are compensated. Conclusions: Early detection of COPD is feasible in daily life primary care. In moderate to high SES practices the costs of detecting COPD were less than in low SES practices.

Background A monitoring-and-feedback tool was developed to stimulate physical activity by giving feedback on physical activity performance to patients and practice nurses. The tool consists of an activity monitor (accelerometer), wirelessly connected to a Smartphone and a web application. Use of this tool is combined with a behaviour change counselling protocol (the Self-management Support Programme) based on the Five A's model (Assess–Advise–Agree–Assist–Arrange). Objectives To examine the reach, implementation and satisfaction with the counselling protocol and the tool. Design A process evaluation was conducted in two intervention groups of a three-armed cluster randomised controlled trial, in which the counselling protocol was evaluated with (group 1, n =65) and without (group 2, n =66) the use of the tool using a mixed methods design. Settings Sixteen family practices in the South of the Netherlands. Participants Practice nurses ( n =20) and their associated physically inactive patients ( n =131), diagnosed with Chronic Obstructive Pulmonary Disease or Type 2 Diabetes, aged between 40 and 70 years old, and having access to a computer with an Internet connection. Methods Semi structured interviews about the receipt of the intervention were conducted with the nurses and log files were kept regarding the consultations. After the intervention, questionnaires were presented to patients and nurses regarding compliance to and satisfaction with the interventions. Functioning and use of the tool were also evaluated by system and helpdesk logging. Results Eighty-six percent of patients (group 1: n =57 and group 2: n =56) and 90% of nurses (group 1: n =10 and group 2: n =9) responded to the questionnaires. The execution of the Self-management Support Programme was adequate; in 83% (group 1: n =52, group 2: n =57) of the patients, the number and planning of the consultations were carried out as intended. Eighty-eight percent ( n =50) of the patients in group 1 used the tool until the end of the intervention period. Technical problems occurred in 58% ( n =33). Participants from group 1 were significantly more positive: patients: χ 2 (2, N =113)=11.17, p =0.004, and nurses: χ 2 (2, N =19)=6.37, p =0.040. Use of the tool led to greater awareness of the importance of physical activity, more discipline in carrying it out and more enjoyment. Conclusions The interventions were adequately executed and received as planned. Patients from both groups appreciated the focus on physical activity and personal attention given by the nurse. The most appreciated aspect of the combined intervention was the tool, although technical problems frequently occurred. Patients with the tool estimated more improvement of physical activity than patients without the tool.

Rationale, aims and objectives The admission to a hospital for elective surgery, like arthroplasty, can be planned ahead. The elective nature of arthroplasty and the increasing stimulus of the public to critically select a hospital raise the issue of how patients actually take such decisions. The aim of this paper is to describe the decision-making process of selecting a hospital as experienced by people who underwent elective joint arthroplasty and to understand what factors influenced the decision-making process. Methods Qualitative descriptive study with 18 participants who had a hip or knee replacement within the last 5 years. Data were gathered from eight individual interviews and four focus group interviews and analysed by content analysis. Results Three categories that influenced the selection of a hospital were revealed: information sources, criteria in decision making and decision-making styles within the GP– patient relationship. Various contextual aspects influenced the decision-making process. Most participants gave higher priority to the selection of a medical specialist than to the selection of a hospital. Conclusion Selecting a hospital for arthroplasty is extremely complex. The decision-making process is a highly individualized process because patients have to consider and assimilate a diversity of aspects, which are relevant to their specific situation. Our findings support the model of shared decision making, which indicates that general practitioners should be attuned to the distinct needs of each patient at various moments during the decision making, taking into account personal, medical and contextual factors.

Objective To get insights into the decision-making strategy of health-care consumers when confronted with comparative consumer information. Methods Qualitative descriptive study among 18 consumers who had a hip or knee replacement no longer than five years ago. To study their decision-making strategies a paper draft for a website was used providing comparative consumer information. Data were collected by cognitive interviews and focus-group meetings and subjected to thematic analysis. Results Consumers were able to understand the presented information, but had problems to use it as a decision aid. They primarily relied on previous experiences. Four themes were revealed: decision making, perceived benefits, unmet information needs, and trustworthiness. Consumers used different decision strategies and showed unpredictable behavior when choosing a hospital. Conclusion Individual decision strategies, unsatisfied information needs, limited tenability and too coarse aggregation levels of quality scores are barriers for a proper use of comparative consumer information. Personal experience remains a valuable information source for hospital selection. We suggest that a website presenting comparative consumer information should be flexible in various ways and should include functionality to share personal experience.

Doel: Empirisch inzicht verkrijgen in de rol van gebruikersparticipatie bij het ontwerp van een website met CQI-keuzeinformatie. Dit is informatie over patientenervaringen in zorginstellingen. Methode: Op basis van literatuurstudie en eenexpert panel werd een papieren ontwerp voor een CQI-website voor electieve heup- en knieoperaties gemaakt. Dit ontwerp werd aangepast op basis van een kwalitatief-descriptieve studie onder 18 consumenten die recentelijk (

Background: Web-based computer-tailored interventions have shown to be effective in improving health behavior; however, high dropout attrition is a major issue in these interventions. Objective: The aim of this study is to assess whether people with a lower educational level drop out from studies more frequently compared to people with a higher educational level and to what extent this depends on evaluation of these interventions. Methods: Data from 7 randomized controlled trials of Web-based computer-tailored interventions were used to investigate dropout rates among participants with different educational levels. To be able to compare higher and lower educated participants, intervention evaluation was assessed by pooling data from these studies. Logistic regression analysis was used to assess whether intervention evaluation predicted dropout at follow-up measurements. Results: In 3 studies, we found a higher study dropout attrition rate among participants with a lower educational level, whereas in 2 studies we found that middle educated participants had a higher dropout attrition rate compared to highly educated participants. In 4 studies, no such significant difference was found. Three of 7 studies showed that participants with a lower or middle educational level evaluated the interventions significantly better than highly educated participants (“Alcohol-Everything within the Limit”: F2,376=5.97, P=.003; “My Healthy Behavior”: F2,359=5.52, P=.004; “Master Your Breath”: F2,317=3.17, P=.04). One study found lower intervention evaluation by lower educated participants compared to participants with a middle educational level (“Weight in Balance”: F2,37=3.17, P=.05). Low evaluation of the interventions was not a significant predictor of dropout at a later follow-up measurement in any of the studies. Conclusions: Dropout attrition rates were higher among participants with a lower or middle educational level compared with highly educated participants. Although lower educated participants evaluated the interventions better in approximately half of the studies, evaluation did not predict dropout attrition. Further research is needed to find other explanations for high dropout rates among lower educated participants.

This study investigated the effect of playing Nintendo(®) "Wii Fit™ Plus" (Nintendo of America, Inc., Redmond, WA) on body balance and physical activity of nursing home residents.In a nonrandomized controlled trial within a nursing home, two intervention groups (both n=8) were exposed to the same treatment and compared with a control group (n=13). Intervention Group 1 consisted of elderly individuals with regular Nintendo "Wii Fit" experience for at least 1 year. Elderly persons who were novices to the Nintendo "Wii Fit (Plus)" participated in intervention Group 2. Control participants had no experience with the Nintendo "Wii Fit (Plus)" and did not participate in the Nintendo "Wii Fit Plus" sessions. Outcome measurements were taken at baseline and after the intervention, using the Berg Balance Scale and the LASA Physical Activity Questionnaire. Participants of both intervention groups played the Nintendo "Wii Fit Plus" for 10 minutes twice a week during 12 weeks.Although balance improved for all three groups, there was no effect of playing "Wii Fit Plus" (P=0.89). On physical activity, the intervention did have a positive effect (P=0.005); physical activity levels increased with a median of 54.3 (interquartile range, 63.1) minutes/day for intervention Group 1 and a median of 60.7 (interquartile range, 56.8) minutes/day for intervention Group 2.This study showed an effect of Nintendo "Wii Fit Plus" gaming on physical activity of nursing home residents, but not on their balance. The effect of physical activity should be consolidated in a randomized controlled trial in a broader population.

Contains fulltext : 152403.pdf (Publisher’s version ) (Open Access) BACKGROUND: Physical inactivity is a major public health problem. The It's LiFe! monitoring and feedback tool embedded in the Self-Management Support Program (SSP) is an attempt to stimulate physical activity in people with chronic obstructive pulmonary disease or type 2 diabetes treated in primary care. OBJECTIVE: Our aim was to evaluate whether the SSP combined with the use of the monitoring and feedback tool leads to more physical activity compared to usual care and to evaluate the additional effect of using this tool on top of the SSP. METHODS: This was a three-armed cluster randomised controlled trial. Twenty four family practices were randomly assigned to one of three groups in which participants received the tool + SSP (group 1), the SSP (group 2), or care as usual (group 3). The primary outcome measure was minutes of physical activity per day. The secondary outcomes were general and exercise self-efficacy and quality of life. Outcomes were measured at baseline after the intervention (4-6 months), and 3 months thereafter. RESULTS: The group that received the entire intervention (tool + SSP) showed more physical activity directly after the intervention than Group 3 (mean difference 11.73, 95% CI 6.21-17.25; P

Summary Objective: The aim of the PropeR project is to investigate the impact of Active Computerized Protocol Support (ACPS) on daily care processes in different settings (home care and hospital care). ACPS consists of an active Protocol Support System (PSS) that is linked to an Electronic Patient Record system. The aim of this paper is to describe how we have taken the organizational and social aspects into account in the hospital setting and the consequences of this approach for the design of the PSS. Methods: Socio-technical approaches have been applied. Observations and interviews with various health care providers were performed at the hematology and oncology department of the University Hospital Maastricht. Ten extensive sessions with a specialist physician and research nurse took place to further elaborate a study protocol and to discuss how it is integrated in daily practice. The knowledge editor component of Gaston was used to build a computer interpretable version of the selected protocol. Results and conclusions: To support the representation of a study protocol integrated in routine clinical care, a Three-Layer Model was developed. This model distinguishes the protocol description, local adaptations to the protocol and communication as three separate layers. These layers have been incorporated into the knowledge acquisition tool Gaston. The Three-Layer Model makes easy updating possible, and also supports transferability of computerized (study) protocols to other organizations.

We reviewed the English and Dutch literature on evaluations of patient care information sys- tems that require data entry by health care professionals published from 1991 to 2001. Our objectives were to identify attributes that were used to assess the success of such systems and to test the ability of a framework developed by Delone and McLean for management information systems 1 to categorize these attributes correctly. The framework includes six dimensions or success factors: system quality, information quality, usage, user satis- faction, individual impact, and organizational impact. Thirty-three papers were selected for complete review. Types of study design included descriptive, correlational, comparative, and case studies. A variety of relevant attributes could be assigned to the six dimensions in the Delone and McLean framework, but some attributes, predominantly in cases of failure, did not fit any of the categories. They related to contingent factors, such as organizational culture. Our review points out the need for more thorough evaluations of patient care information systems that look at a wide range of factors that can affect the relative success or failure of these systems.

Summary Objectives: To compare two clinical workstations in one hospital with respect to technical, organizational, cultural and human factors. One clinical workstation was a GUI to the HIS. The other was an electronic patient record for stroke. Methods: Data were collected by means of in-depth interviews with end-users of both clinical workstations. The interviews were audio taped and transcribed for analysis. Results: End users assessed both clinical workstations as user friendly. Coordination between health care workers was perceived to be enhanced. However, in both situations poor communication between management, implementers and users resulted in uncertainty and skepticism about future perspectives. Furthermore, it appeared that inpatient and outpatient settings needed clinical workstations with different requirements for an optimal fit between work practices and information system. Conclusions: Regardless of the domain and content of a workstation, it can support coordination between disciplines. The communication concerning the information technology strategy deserves much attention. Finally, the requirements for inpatient and outpatient workstations differ.

Summary Objectives: Many shared-care projects feel the need for electronic patient-record (EPR) systems. In absence of practical experiences from paper record keeping, a theoretical model is the only reference for the design of these systems. In this article, we review existing models of individual clinical practice and integrate their useful elements. We then present a generic model of clinical practice that is applicable to both individual and collaborative clinical practice. Methods: We followed the principles of the conversation-for-action theory and the DEMO method. According to these principles, information can only be generated by a conversation between two actors. An actor is a role that can be played by one or more human subjects, so the model does not distinguish between inter-individual and intra-individual conversations. Results: Clinical practice has been divided into four actors: service provider, problem solver, coordinator, and worker. Each actor represents a level of clinical responsibility. Any information in the patient record is the result of a conversation between two of these actors. Connecting different conversations to one another can create a process view with meta-information about the rationale of clinical practice. Such process view can be implemented as an extension to the EPR. Conclusions: The model has the potential to cover all professional activities, but needs to be further validated. The model can serve as a theoretical basis for the design of EPR-systems for shared care, but a successful EPR-system needs more than just a theoretical model.

Background: A randomized controlled trial (RCT) showed that a Web-based computer-tailored self-management intervention for people with or at risk for chronic obstructive pulmonary disease (COPD) did not have a significant treatment effect. Process evaluation measures such as application use and satisfaction with the intervention can help understand these results.Objectives: The aim of this paper is to uncover reasons for suboptimal application use, evaluate satisfaction with the intervention, and investigate which participant characteristics predict application use and user satisfaction.Methods: Participants were recruited through 2 different channels: an online panel and general practice. The intervention group received the intervention, which consisted of 2 modules (smoking cessation and physical activity). The control group received no intervention. The study employed a mixed methods design. Quantitative and qualitative data were gathered assessing participant characteristics, application use, reasons for not using the application, and satisfaction with the intervention.Results: The RCT included 1325 participants. The proportion of individuals who participated was significantly higher in the online group (4072/6844, 59.5%) compared to the general practice group (43/335, 12.8%) (PConclusions: The application was not used sufficiently. Study materials should be further tailored to younger individuals, those at risk for COPD, and those who do not experience breathlessness in order to increase sustained use among them. Involvement of a health care professional could improve satisfaction with the intervention and potentially increase engagement with intervention materials. However, to make this possible, recruitment in general practice needs to be improved. Recommendations are made for improving the study design, strengthening the intervention (eg, practice facilitation), and linking the computer application to interaction with a health care provider.

Background Physical activity is important for a healthy lifestyle. Although physical activity can delay complications and decrease the burden of the disease, the level of activity of patients with chronic obstructive pulmonary disease (COPD) or type 2 Diabetes Mellitus (DM2) is often far from optimal. To stimulate physical activity, a monitoring and feedback tool, consisting of an accelerometer linked to a smart phone and webserver (It’s LiFe! tool), and a counselling protocol for practice nurses in primary care was developed (the Self-management Support Program). The main objective of this study is to measure the longitudinal effects of this counselling protocol and the added value of using the tool. Methods/Design This three-armed cluster randomised controlled trial with 120 participants with COPD and 120 participants with DM2 (aged 40–70), compares the counselling protocol with and without the use of the tool (group 1 and 2) with usual care (group 3). Recruitment takes place at GP practices in the southern regions of the Netherlands. Randomisation takes place at the practice level. The intended sample (three arms of 8 practices) powers the study to detect a 10-minute difference of moderate and intense physical activity per day between groups 1 and 3. Participants in the intervention groups have to visit the practice nurse 3–4 times for physical activity counselling, in a 4-6-month period. Specific activity goals tailored to the individual patient's preferences and needs will be set. In addition, participants in group 1 will be instructed to use the tool in daily life. The primary outcome, physical activity, will be measured in all groups with a physical activity monitor (PAM). Secondary outcomes are quality of life, general - and exercise - self-efficacy, and health status. Follow-up will take place after 6 and 9 months. Separately, a process evaluation will be conducted to explore reasons for trial non-participation, and the intervention’s acceptability for participating patients and nurses. Discussion Results of this study will give insight into the effects of the It’s LiFe! monitoring and feedback tool combined with care from a practice nurse for people with COPD or DM2 on physical activity. Trial registration ClinicalTrials.gov: NCT01867970

Sanne van der Weegen,1 Renée Verwey,1,2 Huibert J Tange,3 Marieke D Spreeuwenberg,1 Luc P de Witte1,2 1Department of Health Services Research, CAPHRI School for Public Health and Primary Care, Faculty of Health Medicine and Life Sciences, Maastricht University, the Netherlands; 2Research Centre Technology in Care, Zuyd University of Applied Sciences, Heerlen, the Netherlands; 3Department of General Practice, CAPHRI School for Public Health and Primary Care, Faculty of Health Medicine and Life Sciences, Maastricht University, the Netherlands Introduction: A monitoring and feedback tool to stimulate physical activity, consisting of an activity sensor, smartphone application (app), and website for patients and their practice nurses, has been developed: the 'It's LiFe!' tool. In this study the usability of the tool was evaluated by technology experts and end users (people with chronic obstructive pulmonary disease or type 2 diabetes, with ages from 40–70 years), to improve the user interfaces and content of the tool. Patients and methods: The study had four phases: 1) a heuristic evaluation with six technology experts; 2) a usability test in a laboratory by five patients; 3) a pilot in real life wherein 20 patients used the tool for 3 months; and 4) a final lab test by five patients. In both lab tests (phases 2 and 4) qualitative data were collected through a thinking-aloud procedure and video recordings, and quantitative data through questions about task complexity, text comprehensiveness, and readability. In addition, the post-study system usability questionnaire (PSSUQ) was completed for the app and the website. In the pilot test (phase 3), all patients were interviewed three times and the Software Usability Measurement Inventory (SUMI) was completed. Results: After each phase, improvements were made, mainly to the layout and text. The main improvement was a refresh button for active data synchronization between activity sensor, app, and server, implemented after connectivity problems in the pilot test. The mean score on the PSSUQ for the website improved from 5.6 (standard deviation [SD] 1.3) to 6.5 (SD 0.5), and for the app from 5.4 (SD 1.5) to 6.2 (SD 1.1). Satisfaction in the pilot was not very high according to the SUMI. Discussion: The use of laboratory versus real-life tests and expert-based versus user-based tests revealed a wide range of usability issues. The usability of the It's LiFe! tool improved considerably during the study. Keywords: accelerometry, chronic obstructive pulmonary disease, diabetes mellitus type 2, heuristic evaluation, telemonitoring, thinking aloud

This article presents an overview of a research project concerning the consultation of medical narratives in the electronic medical record (EMR). It describes an analysis of user needs, the design and implementation of a prototype EMR system, and the evaluation of the ease of consultation of medical narratives when using this system. In a questionnaire survey, 85 hospital physicians judged the quality of their paper-based medical record with respect to data entry, information retrieval and some other aspects. Participants were more positive about the paper medical record than the literature suggests. They wished to maintain the flexibility of data entry but indicated the need to improve the retrieval of information. A prototype EMR system was developed to facilitate the consultation of medical narratives. These parts were divided into labeled segments that could be arranged source-oriented and problem-oriented. This system was used to evaluate the ease of information retrieval of 24 internists and 12 residents at a teaching hospital when using free-text medical narratives divided at different levels of detail. They solved, without time pressure, some predefined problems concerning three voluminous, inpatient case records. The participants were randomly allocated to a sequence that was balanced by patient case and learning effect. The division of medical narratives affected speed, but not completeness of information retrieval. Progress notes divided into problem-related segments could be consulted 22% faster than when undivided. Medical history and physical examination divided into segments at organ-system level could be consulted 13% faster than when divided into separate questions and observations. These differences were statistically significant. The fastest divisions were also appreciated as the best combination of easy searching and best insight in the patient case. The results of our evaluation study suggest a trade-off between searching and reading: too much detailed segments will delay the consultation of medical narratives. Validation of the results in daily practice is recommended.

Objective: Using electronic rather than paper-based record systems improves clinicians' information retrieval from patient narratives. However, few studies address how data should be organized for this purpose. Information retrieval from clinical narratives containing free text involves two steps: searching for a labeled segment and reading its content. The authors hypothesized that physicians can retrieve information better when clinical narratives are divided into many small, labeled segments (''high granularity''). Design: The study tested the ability of 24 internists and 12 residents at a teaching hospital to retrieve information from an electronic medical record — in terms of speed and completeness — when using different granularities of clinical narratives. Participants solved, without time pressure, predefined problems concerning three voluminous, inpatient case records. To mitigate confounding factors, participants were randomly allocated to a sequence that was balanced by patient case and learning effect. Results: Compared with retrieval from undivided notes, information retrieval from problem- partitioned notes was 22 percent faster (statistically significant), whereas retrieval from notes divided into organ systems was only 11 percent faster (not statistically significant). Subdividing segments beyond organ systems was 13 percent slower (statistically significant) than not subdividing. Granularity of medical narratives affected the speed but not the completeness of information retrieval. Conclusion: Dividing voluminous free-text clinical narratives into labeled segments makes patient-related information retrieval easier. However, too much subdivision slows retrieval. Study results suggest that a coarser granularity is required for optimal information retrieval than for structured data entry. Validation of these conclusions in real-life clinical practice is recommended. n J Am Med Inform Assoc. 1998;5:571 - 582. The primary function of the medical record is to sup- ply information for direct clinical practice. The med- ical record originally served as a memory-aid for the individual practitioner but has evolved to become a communication tool used by different professionals

Background: The burden of chronic obstructive pulmonary disease (COPD) is high. Health benefits can be gained in primary care by early detection and preventive measures. Aims: To compare the effectiveness of two strategies for population-based early detection of COPD, taking into account different socioeconomic status (SES) settings. Methods: Practices were randomised on strategy and stratified on SES setting. The Respiratory Health Screening Questionnaire (RHSQ) was distributed to all participants. In the practice-managed condition, the practice was responsible for the whole procedure, while in the patient-managed condition, patients were responsible for calculating their RHSQ risk score and applying for a spirometry test. The main outcome measure was the rate of COPD diagnoses after screening. Results: More new COPD patients were detected in the practice-managed condition (36%) than in the patient-managed condition (18%). In low SES practices, more high-risk patients were found (16%) than in moderate-to-high SES practices (9%). Recalculated for a standard Dutch practice (2,350 patients), the yield would be 8.9 new COPD diagnoses, which is a 20% increase of known cases. Conclusions: The practice-managed variant of this screening procedure shows a substantial yield of new COPD diagnoses for both low and moderate-to-high SES practices.

The system informs the nurse about levels of physical activity in the daily living of patients who are using the It's LiFe! tool. The tool consists of an accelerometer that transfers data to a smartphone, which is subsequently connected to a server. Nurses can monitor patients' physical activity via a secured website. Physical activity levels are measured in minutes per day compared with pre-set activity goals, which are set in dialogue with the patient.To examine user requirements and to evaluate the usability of the secured website, in order to increase the probability of effective use by nurses.The needs and preferences of nurses towards the system were determined through qualitative research. The usability of the system was evaluated in a laboratory situation and during a three-month pilot study.A monitoring and feedback system to support patients in their intention to be more active was developed in a systematic way. Automatically generated feedback messages were defined based on the requirements of nurses. The results from the usability tests gave insights into how to improve the structure and quality of the information provided. Nurses were positive about the features and ease of use of the system, but made critical remarks about the time that its use entails.The system supports nurses when performing physical activity counselling in a structured and profound way. The opportunity to support self-management of patients in between regular consultations needs further investigation, and adaptation into the clinical workflow of the nurses.

BackgroundPhysical activity is an important aspect in the treatment of patients with chronic obstructive pulmonary disease or type-2 diabetes. A monitoring and feedback tool combined with guidance by a primary care provider might be a successful method to enhance the level of physical activity in these patients. As a prerequisite for useful technology, it is important to involve the end-users in the design process from an early stage. ObjectiveThe aim of this study was to investigate the user requirements for a tool to stimulate physical activity, embedded in primary care practice. The leading principle of this tool is to change behavior by self-monitoring, goal-setting, and feedback. MethodsThe research team collected qualitative data among 15 patients, 16 care professionals, and several experts. A prototype was developed in three stages. In stage 1, the literature was searched to identify end-users and context. In stage 2, the literature, experts and patient representatives were consulted to set up a use case with the general idea of the innovation. In stage 3, individual interviews and focus groups were held to identify the end-user requirements. Based on these requirements a prototype was built by the engineering team. ResultsThe development process has led to a tool that generally meets the requirements of the end-users. A tri-axial activity sensor, worn on the hip, is connected by Bluetooth to a smartphone. In an app, quantitative feedback is given about the amount of activity and goals reached by means of graphical visualization, and an image shows a sun when the goal is reached. Overviews about activity per half an hour, per day, week, and month are provided. In the menu of the app and on a secured website, patients can enter information in individual sessions or read feedback messages generated by the system. The practice nurse can see the results of all patients on a secure webpage and can then discuss the results and set personalized goals in consultation with the patient. ConclusionsThis study demonstrates that a user-centered approach brings in valuable details (such as the requirements for feedback in activity minutes per day) to improve the fit between the user, technology, and the organization of care, which is important for the usability and acceptability of the tool. The tool embedded in primary care will be evaluated in a randomized controlled trial.

Contains fulltext : 125231.pdf (Publisher’s version ) (Open Access) BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a major cause of morbidity and mortality. Effective self-management support interventions are needed to improve the health and functional status of people with COPD or at risk for COPD. Computer-tailored technology could be an effective way to provide this support. METHODS/DESIGN: This paper presents the protocol of a randomised controlled trial testing the effectiveness of a web-based, computer-tailored self-management intervention to change health behaviours of people with or at risk for COPD. An intervention group will be compared to a usual care control group, in which the intervention group will receive a web-based, computer-tailored self-management intervention. Participants will be recruited from an online panel and through general practices. Outcomes will be measured at baseline and at 6 months. The primary outcomes will be smoking behaviour, measuring the 7-day point prevalence abstinence and physical activity, measured in minutes. Secondary outcomes will include dyspnoea score, quality of life, stages of change, intention to change behaviour and alternative smoking behaviour measures, including current smoking behaviour, 24-hour point prevalence abstinence, prolonged abstinence, continued abstinence and number of quit attempts. DISCUSSION: To the best of our knowledge, this will be the first randomised controlled trial to test the effectiveness of a web-based, computer-tailored self-management intervention for people with or at risk for COPD. The results will be important to explore the possible benefits of computer-tailored interventions for the self-management of people with or at risk for COPD and potentially other chronic health conditions. DUTCH TRIAL REGISTER: NTR3421.

Contains fulltext : 126196.pdf (Publisher’s version ) (Open Access) BACKGROUND: An eHealth intervention using computer tailored technology including several behavior change techniques was developed to support the self-management of chronic obstructive pulmonary disease patients. OBJECTIVE: The goal of this study was to evaluate and improve the usability of the eHealth intervention. METHODS: We conducted a usability evaluation with 8 chronic obstructive pulmonary disease patients, with a mixed methods design. We improved the usability through iterative cycles of evaluation and adaptation. Participants were asked to think aloud during the evaluation sessions. Participants then completed a semi-structured interview. The sessions were observed and recorded. Descriptive statistics and content analysis were used to uncover usability issues. RESULTS: Areas for improvement were layout, navigation, and content. Most issues could be solved within 3 iterations of improvement. Overall, participants found the program easy to use. The length of the program urged us to further analyze the appreciation of behavior change techniques. Some were perceived as helpful and easy to use, while others evoked frustration. CONCLUSIONS: The usability study identified several issues for improvement, confirming the need for usability evaluation during the development of eHealth interventions. The uncovered strengths and limitations of behavior change techniques may lead to optimization of eHealth interventions, but further insight is needed.

In the Netherlands an innovative programme for early detection of chronic obstructive pulmonary disease (COPD) in primary care among patients aged 40-70 years has been evaluated in both an effect study and a pilot implementation study. Health-care providers identified four obstacles for successful implementation of a COPD early detection programme. This Brief Communication describes the most important results of a qualitative study using in-depth interviews.

Introduction: Although physical activity has many positive effects on the quality of life and prognosis, it is very difficult for people with COPD or diabetes type 2 (DM2) to be sufficiently active. Unfortunately, the long-term adherence to several care interventions that try to enhance the physical activity level of these people is generally low. Self-monitoring and feedback integrated in technology might help promoting and sustaining an active lifestyle, especially when it is part of health care services. As a prerequisite, for useful technology and a successful intervention that meets the requirements and preferences of the end users, it is important to involve the end users in the design process at an early stage. Aim: In this contribution we report how users were involved in the design of an innovative monitoring and feedback tool to support self-management of an active lifestyle for COPD and DM2 patients. This tool will be implemented in primary care in a Self-management Support Program (SSP). Users were involved in particular to elicit: Which feedback they need to optimally support them in their self-management. 1. How this feedback should be presented. 2. How the tool could be designed in order to be attractive, easy to use and suitable to wear on a daily basis. 3. Methods: An iterative user-centred approach was used to design both the tool and the SSP. Patients, care professionals and technicians were actively involved in the development process. Two patient representatives were added to the research team to help outlining the research strategy. A multidisciplinary team of technicians and computer engineers was established to help deciding on the development of the tool. Sixteen care professionals, 7 COPD and 8 DM2 patients were involved in interviews and focus groups to elicit the functional requirements of the tool. Results: The conceptual idea of the tool is adapted to the requirements and preferences of the end users. The user-centred design process resulted in a self-management tool that consists of three parts: an accelerometer that monitors physical activity, a smartphone that shows feedback based on this activity and tailored to personal goals, and a server that stores the data and sends the feedback messages to the patients. This server also provides a summary to practice nurses, to prepare them for consultations, telephone calls or email conversations with patients. Conclusions: The involvement of end users in the development of the tool has led to new insights that increase its acceptability and usability. The tool will soon be validated and tested in pilot studies. The effects of the Self-management Support Program with the tool, embedded in primary care, will be measured in an RCT.

The admission to a hospital for elective surgery, like arthroplasty, can be planned ahead. The elective nature of arthroplasty and the increasing stimulus of the public to critically select a hospital raise the issue of how patients actually take such decisions. The aim of this paper is to describe the decision-making process of selecting a hospital as experienced by people who underwent elective joint arthroplasty and to understand what factors influenced the decision-making process.Qualitative descriptive study with 18 participants who had a hip or knee replacement within the last 5 years. Data were gathered from eight individual interviews and four focus group interviews and analysed by content analysis.Three categories that influenced the selection of a hospital were revealed: information sources, criteria in decision making and decision-making styles within the GP- patient relationship. Various contextual aspects influenced the decision-making process. Most participants gave higher priority to the selection of a medical specialist than to the selection of a hospital.Selecting a hospital for arthroplasty is extremely complex. The decision-making process is a highly individualized process because patients have to consider and assimilate a diversity of aspects, which are relevant to their specific situation. Our findings support the model of shared decision making, which indicates that general practitioners should be attuned to the distinct needs of each patient at various moments during the decision making, taking into account personal, medical and contextual factors.

Summary Background: Guidelines are among us for over 30 years. Initially they were used as algorithmic protocols by nurses and other ancillary personnel. Many physicians regarded the use of guidelines as cookbook medicine. However, quality and patient safety issues have changed the attitude towards guidelines. Implementing formalized guidelines in a decision support system with an interface to an electronic patient record (EPR) makes the application of guidelines more personal and therefore acceptable at the moment of care. Objective: To obtain, via a literature review, an insight into factors that influence the design and implementation of guidelines. Methods: An extensive search of the scientific literature in PubMed was carried out with a focus on guideline characteristics, guideline development and implementation, and guideline dissemination. Results: We present studies that enable us to explain the characteristics of high-quality guidelines, and new advanced methods for guideline formalization, computerization, and implementation. We show how the guidelines affect processes of care and the patient outcome. We discuss the reasons of low guideline adherence as presented in the literature and comment upon them. Conclusions: Developing high-quality guidelines requires a skilled team of people and sufficient budget. The guidelines should give personalized advice. Computer-interpretable guidelines (CIGs) that have access to the patient’s EPR are able to give personal advice. Because of the costs, sharing of CIGs is a critical requirement for guideline development, dissemination, and implementation. Until now this is hardly possible, because of the many models in use. However, some solutions have been proposed. For instance, a standardized terminology should be imposed so that the terms in guidelines can be matched with terms in an EPR. Also, a dissemination model for easy updating of guidelines should be established. The recommendations should be based on evidence instead of on consensus. To test the quality of the guideline, appraisal instruments should be used to assess the guideline as a whole, as well as checking the quality of the recommendations individually. Only in this way optimal guideline advice can be given on an individual basis at a reasonable cost.

Decision Support Systems (DSS) are typically integrated in Electronic Health Record systems (EHR). By removing this integration full reuse of a DSS system is possible. The connection between the EHR and the DSS system should be standards-based and generic. We intend to demonstrate the viability of this setup by implementing it using PropeRWeb as EHR system, Gaston as DSS system, HL7v3 messages and the SOAP protocol.

The PropeR project studies a genric combination of an electronic health record (EHR) and decision support software (DSS). This study comprises different medical domains.Develop a distributed EHR system that is flexible enough to be used in different domains without major modifications.Use of standards and standardized specification and available open source components to develop an EHR system that meets the goals.PropeRWeb is a generic webbased EHR system that is flexible enough to easily accommodate different domains.Discussion of some of the problems encountered in the development of the EHR system.

The combination of a computer-based patient record system with a decision support system may give physicians the decisive push they need to accept such systems. In the PropeR-project we determine the requirements for a generic interface between both such systems and measure its potential impact on patient care. In this overview we describe the objectives, the experimental approach, and the current state of the PropeR-project. We also discuss the original positions behind the project.